Towards a decision support system for municipal waste collection by integrating geographical information system map, smart devices and agent-based model
In
many big cities, the volume of daily municipal solid waste generation
is huge. The management of solid waste collection and transportation is a
challenge. Actually, in many developing countries, this work mainly
depends on experiences. Therefore, it is not effective; the waste
retention time at collection points is long. The purpose of our work is
to explore a decision support system for municipal waste collection and
transportation by integrating GIS map, smart devices and agent-based
model. Based on the real-time data that is collected and transmitted by
smart devices, the decision support system calculates the optimized path
for each vehicle. A case study related to Hagiang city, Vietnam, is
presented to show the efficiency of the proposed model. From the
optimized results, it has been found that the cost of the MSW collection
is reduced.
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